ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.11347
  4. Cited By
Learning to Adapt in Dynamic, Real-World Environments Through
  Meta-Reinforcement Learning

Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

30 March 2018
Anusha Nagabandi
I. Clavera
Simin Liu
R. Fearing
Pieter Abbeel
Sergey Levine
Chelsea Finn
ArXivPDFHTML

Papers citing "Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning"

50 / 115 papers shown
Title
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell
Guanya Shi
Xichen Shi
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
75
169
0
13 May 2022
Control-oriented meta-learning
Control-oriented meta-learning
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
35
24
0
14 Apr 2022
Factored Adaptation for Non-Stationary Reinforcement Learning
Factored Adaptation for Non-Stationary Reinforcement Learning
Fan Feng
Erdun Gao
Kun Zhang
Sara Magliacane
CML
OffRL
45
32
0
30 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement
  Learning
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning
Hongpeng Cao
Mirco Theile
Federico G. Wyrwal
Marco Caccamo
37
6
0
04 Mar 2022
Transfer Dynamics in Emergent Evolutionary Curricula
Transfer Dynamics in Emergent Evolutionary Curricula
Aaron Dharna
Amy K. Hoover
Julian Togelius
Lisa Soros
27
6
0
03 Mar 2022
Fast Model-based Policy Search for Universal Policy Networks
Fast Model-based Policy Search for Universal Policy Networks
B. L. Semage
Thommen George Karimpanal
Santu Rana
Svetha Venkatesh
24
1
0
11 Feb 2022
Demystifying Reinforcement Learning in Time-Varying Systems
Demystifying Reinforcement Learning in Time-Varying Systems
Pouya Hamadanian
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
40
1
0
14 Jan 2022
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication
  Pattern Recognition Module
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module
Wei-Cheng Tseng
Wei Wei
Da-Cheng Juan
Min Sun
36
2
0
14 Dec 2021
Coupling Vision and Proprioception for Navigation of Legged Robots
Coupling Vision and Proprioception for Navigation of Legged Robots
Zipeng Fu
Ashish Kumar
Ananye Agarwal
Haozhi Qi
Jitendra Malik
Deepak Pathak
21
73
0
03 Dec 2021
Improving the Robustness of Reinforcement Learning Policies with
  $\mathcal{L}_{1}$ Adaptive Control
Improving the Robustness of Reinforcement Learning Policies with L1\mathcal{L}_{1}L1​ Adaptive Control
Y. Cheng
Penghui Zhao
F. Wang
D. Block
N. Hovakimyan
46
8
0
03 Dec 2021
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal
  Control
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control
Xingshuai Huang
Di Wu
M. Jenkin
Benoit Boulet
13
15
0
15 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Rujikorn Charakorn
P. Manoonpong
Nat Dilokthanakul
33
5
0
05 Nov 2021
Learning Robust Controllers Via Probabilistic Model-Based Policy Search
Learning Robust Controllers Via Probabilistic Model-Based Policy Search
V. Charvet
B. S. Jensen
R. Murray-Smith
19
2
0
26 Oct 2021
Block Contextual MDPs for Continual Learning
Block Contextual MDPs for Continual Learning
Shagun Sodhani
Franziska Meier
Joelle Pineau
Amy Zhang
CLL
36
25
0
13 Oct 2021
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using
  Reinforcement Learning Agents
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents
A. Lazaridis
I. Vlahavas
OffRL
25
2
0
11 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
60
54
0
28 Sep 2021
Continual Backprop: Stochastic Gradient Descent with Persistent
  Randomness
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness
Shibhansh Dohare
R. Sutton
A. R. Mahmood
CLL
47
80
0
13 Aug 2021
RMA: Rapid Motor Adaptation for Legged Robots
RMA: Rapid Motor Adaptation for Legged Robots
Ashish Kumar
Zipeng Fu
Deepak Pathak
Jitendra Malik
23
550
0
08 Jul 2021
Meta-Adaptive Nonlinear Control: Theory and Algorithms
Meta-Adaptive Nonlinear Control: Theory and Algorithms
Guanya Shi
Kamyar Azizzadenesheli
Michael O'Connell
Soon-Jo Chung
Yisong Yue
29
41
0
11 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for
  Reinforcement Learning
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu
Cuiling Lan
Wenjun Zeng
Mingxiao Feng
Zhizheng Zhang
Zhibo Chen
OffRL
20
46
0
08 Jun 2021
Adaptive Adversarial Training for Meta Reinforcement Learning
Adaptive Adversarial Training for Meta Reinforcement Learning
Shiqi Chen
Zhengyu Chen
Donglin Wang
30
6
0
27 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models
Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah
Benjamin Eysenbach
G. Kahn
Nicholas Rhinehart
Sergey Levine
29
70
0
12 Apr 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with
  Hypernetworks
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian
Shamit Lal
H. Tung
Emmanouil Antonios Platanios
Katerina Fragkiadaki
AI4CE
33
23
0
17 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
37
70
0
07 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
34
41
0
05 Mar 2021
Training a Resilient Q-Network against Observational Interference
Training a Resilient Q-Network against Observational Interference
Chao-Han Huck Yang
I-Te Danny Hung
Ouyang Yi
Pin-Yu Chen
OOD
26
14
0
18 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous
  Agents via Personalized Simulators
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Anish Agarwal
Abdullah Alomar
Varkey Alumootil
Devavrat Shah
Dennis Shen
Zhi Xu
Cindy Yang
OffRL
18
18
0
13 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
16
516
0
04 Feb 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
Juhyoung Lee
Sangyeob Kim
Sangjin Kim
Wooyoung Jo
H. Yoo
OffRL
21
9
0
24 Jan 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot
  Dynamics and Environments
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments
Timothée Anne
Jack Wilkinson
Zhibin Li
26
1
0
19 Jan 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary
  Environments
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
Baiming Chen
Zuxin Liu
Jiacheng Zhu
Mengdi Xu
Wenhao Ding
Ding Zhao
25
35
0
02 Jan 2021
Online Service Migration in Mobile Edge with Incomplete System
  Information: A Deep Recurrent Actor-Critic Learning Approach
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach
Jin Wang
Jia Hu
Geyong Min
Qiang Ni
Tarek A. El-Ghazawi
26
28
0
16 Dec 2020
Distributed Machine Learning for Wireless Communication Networks:
  Techniques, Architectures, and Applications
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
Shuyan Hu
Xiaojing Chen
Wei Ni
Ekram Hossain
Xin Wang
AI4CE
47
111
0
02 Dec 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric
  Model Uncertainty
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty
A. Guha
Anuradha M. Annaswamy
31
12
0
20 Nov 2020
Fault-Aware Robust Control via Adversarial Reinforcement Learning
Fault-Aware Robust Control via Adversarial Reinforcement Learning
Fan Yang
Chao Yang
Di Guo
Huaping Liu
F. Sun
42
4
0
17 Nov 2020
Specialization in Hierarchical Learning Systems
Specialization in Hierarchical Learning Systems
Heinke Hihn
Daniel A. Braun
29
16
0
03 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured
  MaxEnt RL
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
16
90
0
27 Oct 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
38
104
0
13 Aug 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster
  Training Without Forgetting
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
33
38
0
14 Jul 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of
  Gaussian Processes
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu
Wenhao Ding
Jiacheng Zhu
Zuxin Liu
Baiming Chen
Ding Zhao
CLL
OffRL
28
34
0
19 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning
Model-based Adversarial Meta-Reinforcement Learning
Zichuan Lin
G. Thomas
Guangwen Yang
Tengyu Ma
OOD
27
52
0
16 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model
  Identification and Experience Relabeling
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
Russell Mendonca
Xinyang Geng
Chelsea Finn
Sergey Levine
OOD
OffRL
32
41
0
12 Jun 2020
Optimizing for the Future in Non-Stationary MDPs
Optimizing for the Future in Non-Stationary MDPs
Yash Chandak
Georgios Theocharous
Shiv Shankar
Martha White
Sridhar Mahadevan
Philip S. Thomas
OffRL
16
65
0
17 May 2020
Context-aware Dynamics Model for Generalization in Model-Based
  Reinforcement Learning
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee
Younggyo Seo
Seunghyun Lee
Honglak Lee
Jinwoo Shin
43
124
0
14 May 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic
  Reinforcement Learning
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian
Benjamin Swanson
Gaurav Sukhatme
Sergey Levine
Chelsea Finn
Karol Hausman
OnRL
CLL
33
43
0
21 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
67
1,935
0
11 Apr 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals
Learning Agile Robotic Locomotion Skills by Imitating Animals
Xue Bin Peng
Erwin Coumans
Tingnan Zhang
T. Lee
Jie Tan
Sergey Levine
25
496
0
02 Apr 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Xingyou Song
Yuxiang Yang
K. Choromanski
Ken Caluwaerts
Wenbo Gao
Chelsea Finn
Jie Tan
112
79
0
02 Mar 2020
Local Nonparametric Meta-Learning
Local Nonparametric Meta-Learning
Wonjoon Goo
S. Niekum
32
3
0
09 Feb 2020
Continuous Meta-Learning without Tasks
Continuous Meta-Learning without Tasks
James Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
CLL
OOD
27
79
0
18 Dec 2019
Previous
123
Next